





A Kalman Filter PrimerAuthor(s): Randall L. Eubank
Format: Paperback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367391690, 978-0367391690
Synopsis
System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notations, learning just how the Kalman filter works can be a daunting task.
With its mathematically rigorous, no frills approach to the basic discrete-time Kalman filter, A Kalman Filter Primer builds a thorough understanding of the inner workings and basic concepts of Kalman filter recursions from first principles. Instead of the typical Bayesian perspective, the author develops the topic via least-squares and classical matrix methods using.
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A Kalman Filter PrimerAuthor(s): Randall L. Eubank
Format: Paperback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367391690, 978-0367391690
Synopsis
System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notations, learning just how the Kalman filter works can be a daunting task.
With its mathematically rigorous, no frills approach to the basic discrete-time Kalman filter, A Kalman Filter Primer builds a thorough understanding of the inner workings and basic concepts of Kalman filter recursions from first principles. Instead of the typical Bayesian perspective, the author develops the topic via least-squares and classical matrix methods using.
Price now:
From
To
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A Kalman Filter PrimerAuthor(s): Randall L. Eubank
Format: Paperback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367391690, 978-0367391690
Synopsis
System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notations, learning just how the Kalman filter works can be a daunting task.
With its mathematically rigorous, no frills approach to the basic discrete-time Kalman filter, A Kalman Filter Primer builds a thorough understanding of the inner workings and basic concepts of Kalman filter recursions from first principles. Instead of the typical Bayesian perspective, the author develops the topic via least-squares and classical matrix methods using.
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
artist | not specified |
Brand | CRC Press |
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